{"total":95,"rows":[{"id":"2102.08363","title":"COMBO: Conservative Offline Model-Based Policy Optimization","created":"2021-02-16","cited_by_count":370,"area":"offlinerl"},{"id":"2304.08488","title":"Affordances from Human Videos as a Versatile Representation for Robotics","created":"2023-04-17","cited_by_count":226,"area":null},{"id":"2401.16013","title":"SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning","created":"2024-01-29","cited_by_count":136,"area":"deeprl"},{"id":"2204.12581","title":"RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning","created":"2022-04-26","cited_by_count":115,"area":"offlinerl"},{"id":"2206.04745","title":"Mildly Conservative Q-Learning for Offline Reinforcement Learning","created":"2022-06-09","cited_by_count":112,"area":"offlinerl"},{"id":"2312.08782","title":"Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis","created":"2023-12-14","cited_by_count":103,"area":null},{"id":"2104.06294","title":"Online and Offline Reinforcement Learning by Planning with a Learned Model","created":"2021-04-13","cited_by_count":90,"area":"offlinerl"},{"id":"2106.13195","title":"FitVid: Overfitting in Pixel-Level Video Prediction","created":"2021-06-24","cited_by_count":87,"area":null},{"id":"2109.10813","title":"A Workflow for Offline Model-Free Robotic Reinforcement Learning","created":"2021-09-22","cited_by_count":69,"area":"offlinerl"},{"id":"2109.08128","title":"Conservative Data Sharing for Multi-Task Offline Reinforcement Learning","created":"2021-09-16","cited_by_count":64,"area":"offlinerl"},{"id":"2206.04779","title":"Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations","created":"2022-06-09","cited_by_count":63,"area":"offlinerl"},{"id":"2202.01741","title":"How to Leverage Unlabeled Data in Offline Reinforcement Learning","created":"2022-02-03","cited_by_count":62,"area":"offlinerl"},{"id":"2310.15145","title":"Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning","created":"2023-10-23","cited_by_count":54,"area":null},{"id":"2110.04135","title":"Revisiting Design Choices in Offline Model-Based Reinforcement Learning","created":"2021-10-08","cited_by_count":50,"area":"offlinerl"},{"id":"2110.00188","title":"Offline Reinforcement Learning with Reverse Model-based Imagination","created":"2021-10-01","cited_by_count":47,"area":"offlinerl"},{"id":"2203.12677","title":"Vision-Based Manipulators Need to Also See from Their Hands","created":"2022-03-15","cited_by_count":47,"area":null},{"id":"2210.00121","title":"Visuo-Tactile Transformers for Manipulation","created":"2022-09-30","cited_by_count":47,"area":null},{"id":"2506.13922","title":"DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance","created":"2025-06-16","cited_by_count":44,"area":"diffusion"},{"id":"2107.08829","title":"Visual Adversarial Imitation Learning using Variational Models","created":"2021-07-16","cited_by_count":42,"area":"offlinerl"},{"id":"2103.04947","title":"Instabilities of Offline RL with Pre-Trained Neural Representation","created":"2021-03-08","cited_by_count":38,"area":"offlinerl"},{"id":"2505.00779","title":"Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures","created":"2025-05-01","cited_by_count":33,"area":"wm"},{"id":"2209.06620","title":"Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation","created":"2022-09-14","cited_by_count":32,"area":"offlinerl"},{"id":"2210.06518","title":"Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories","created":"2022-10-12","cited_by_count":28,"area":"offlinerl"},{"id":"2302.07457","title":"When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning","created":"2023-02-15","cited_by_count":26,"area":"wm"},{"id":"2405.15369","title":"Cross-Domain Policy Adaptation by Capturing Representation Mismatch","created":"2024-05-24","cited_by_count":25,"area":"deeprl"},{"id":"2106.09119","title":"Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL","created":"2021-06-16","cited_by_count":24,"area":"offlinerl"},{"id":"2504.16693","title":"PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation","created":"2025-04-23","cited_by_count":22,"area":"wm"},{"id":"2206.07989","title":"Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination","created":"2022-06-16","cited_by_count":21,"area":"offlinerl"},{"id":"2309.15178","title":"Zero-Shot Reinforcement Learning from Low Quality Data","created":"2023-09-26","cited_by_count":21,"area":null},{"id":"2405.06263","title":"Learning Latent Dynamic Robust Representations for World Models","created":"2024-05-10","cited_by_count":21,"area":"wm"},{"id":"2402.13777","title":"Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions","created":"2024-02-21","cited_by_count":20,"area":"offlinerl"},{"id":"2407.01418","title":"RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing","created":"2024-07-01","cited_by_count":19,"area":null},{"id":"2208.14226","title":"Unsupervised Representation Learning in Deep Reinforcement Learning: A Review","created":"2022-08-27","cited_by_count":18,"area":null},{"id":"2309.00082","title":"RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability","created":"2023-08-31","cited_by_count":18,"area":null},{"id":"2210.06479","title":"Real World Offline Reinforcement Learning with Realistic Data Source","created":"2022-10-12","cited_by_count":17,"area":"offlinerl"},{"id":"2311.10747","title":"Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving","created":"2023-10-31","cited_by_count":17,"area":"driving"},{"id":"2307.11352","title":"Model-based Offline Reinforcement Learning with Count-based Conservatism","created":"2023-07-21","cited_by_count":16,"area":"offlinerl"},{"id":"2505.14139","title":"FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning","created":"2025-05-20","cited_by_count":15,"area":"diffusion"},{"id":"2210.05922","title":"A Unified Framework for Alternating Offline Model Training and Policy Learning","created":"2022-10-12","cited_by_count":14,"area":"offlinerl"},{"id":"2401.03306","title":"MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning","created":"2024-01-06","cited_by_count":14,"area":"offlinerl"},{"id":"2109.10312","title":"Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks","created":"2021-09-21","cited_by_count":13,"area":null},{"id":"2211.01052","title":"Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints","created":"2022-11-02","cited_by_count":13,"area":"offlinerl"},{"id":"2306.04875","title":"Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning","created":"2023-06-08","cited_by_count":13,"area":"diffusion"},{"id":"2203.08949","title":"Latent-Variable Advantage-Weighted Policy Optimization for Offline RL","created":"2022-03-16","cited_by_count":12,"area":"offlinerl"},{"id":"2210.12719","title":"Learning General World Models in a Handful of Reward-Free Deployments","created":"2022-10-23","cited_by_count":12,"area":"wm"},{"id":"2303.11191","title":"A Survey of Demonstration Learning","created":"2023-03-20","cited_by_count":12,"area":"offlinerl"},{"id":"2305.19529","title":"Offline Meta Reinforcement Learning with In-Distribution Online Adaptation","created":"2023-05-31","cited_by_count":12,"area":"offlinerl"},{"id":"2112.03899","title":"Information is Power: Intrinsic Control via Information Capture","created":"2021-12-07","cited_by_count":11,"area":null},{"id":"2203.07413","title":"Switch Trajectory Transformer with Distributional Value Approximation for Multi-Task Reinforcement Learning","created":"2022-03-14","cited_by_count":11,"area":null},{"id":"2405.13193","title":"Efficient Imitation Learning with Conservative World Models","created":"2024-05-21","cited_by_count":11,"area":"wm"},{"id":"2209.15256","title":"S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning","created":"2022-09-30","cited_by_count":9,"area":"offlinerl"},{"id":"2311.02227","title":"State-Wise Safe Reinforcement Learning With Pixel Observations","created":"2023-11-03","cited_by_count":9,"area":null},{"id":"2204.12458","title":"Learning Value Functions from Undirected State-only Experience","created":"2022-04-26","cited_by_count":8,"area":"offlinerl"},{"id":"2306.06253","title":"Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models","created":"2023-06-09","cited_by_count":8,"area":null},{"id":"2402.12527","title":"The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning","created":"2024-02-19","cited_by_count":8,"area":"offlinerl"},{"id":"2602.02900","title":"Manifold-Constrained Energy-Based Transition Models for Offline Reinforcement Learning","created":"2026-02-02","cited_by_count":8,"area":"offlinerl"},{"id":"2305.15260","title":"Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning","created":"2023-05-24","cited_by_count":7,"area":"wm"},{"id":"2301.12056","title":"Variational Latent Branching Model for Off-Policy Evaluation","created":"2023-01-28","cited_by_count":6,"area":null},{"id":"2310.07123","title":"Off-Policy Evaluation for Human Feedback","created":"2023-10-11","cited_by_count":6,"area":"alignment"},{"id":"2401.05899","title":"Optimistic Model Rollouts for Pessimistic Offline Policy Optimization","created":"2024-01-11","cited_by_count":6,"area":"offlinerl"},{"id":"2302.00141","title":"Revisiting Bellman Errors for Offline Model Selection","created":"2023-01-31","cited_by_count":5,"area":"offlinerl"},{"id":"2603.29585","title":"Learn2Fold: Structured Origami Generation with World Model Planning","created":"2026-02-02","cited_by_count":5,"area":"wm"},{"id":"2204.10419","title":"Learning Sequential Latent Variable Models from Multimodal Time Series Data","created":"2022-04-21","cited_by_count":4,"area":null},{"id":"2207.13082","title":"Offline Reinforcement Learning at Multiple Frequencies","created":"2022-07-26","cited_by_count":4,"area":"offlinerl"},{"id":"2305.01400","title":"Get Back Here: Robust Imitation by Return-to-Distribution Planning","created":"2023-05-02","cited_by_count":4,"area":"offlinerl"},{"id":"2203.05955","title":"Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector Insertion","created":"2022-03-10","cited_by_count":3,"area":null},{"id":"2303.01440","title":"Programmatic Imitation Learning from Unlabeled and Noisy Demonstrations","created":"2023-03-02","cited_by_count":3,"area":"offlinerl"},{"id":"2307.13101","title":"Contrastive Example-Based Control","created":"2023-07-24","cited_by_count":3,"area":null},{"id":"2310.17245","title":"CROP: Conservative Reward for Model-based Offline Policy Optimization","created":"2023-10-26","cited_by_count":3,"area":"offlinerl"},{"id":"2407.04942","title":"FOSP: Fine-tuning Offline Safe Policy through World Models","created":"2024-07-06","cited_by_count":3,"area":"wm"},{"id":"2411.04562","title":"Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning","created":"2024-11-07","cited_by_count":3,"area":"offlinerl"},{"id":"2303.02234","title":"Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning","created":"2023-03-03","cited_by_count":2,"area":null},{"id":"2402.09290","title":"Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning","created":"2024-02-14","cited_by_count":2,"area":"deeprl"},{"id":"2406.14054","title":"Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing","created":"2024-06-20","cited_by_count":2,"area":"offlinerl"},{"id":"2409.02512","title":"Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal","created":"2024-09-04","cited_by_count":2,"area":"offlinerl"},{"id":"2503.04014","title":"Dexterous Grasping with Real-World Robotic Reinforcement Learning","created":"2025-03-06","cited_by_count":2,"area":"deeprl"},{"id":"2504.11944","title":"VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning","created":"2025-04-16","cited_by_count":2,"area":"offlinerl"},{"id":"2110.03165","title":"Offline RL With Resource Constrained Online Deployment","created":"2021-10-07","cited_by_count":1,"area":"offlinerl"},{"id":"2306.03680","title":"Mildly Constrained Evaluation Policy for Offline Reinforcement Learning","created":"2023-06-06","cited_by_count":1,"area":"offlinerl"},{"id":"2404.10393","title":"Offline Trajectory Optimization for Offline Reinforcement Learning","created":"2024-04-16","cited_by_count":1,"area":"offlinerl"},{"id":"2406.09486","title":"SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets","created":"2024-06-13","cited_by_count":1,"area":"offlinerl"},{"id":"2503.00930","title":"Behavior Preference Regression for Offline Reinforcement Learning","created":"2025-03-02","cited_by_count":1,"area":"alignment"},{"id":"2505.05126","title":"Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach","created":"2025-05-08","cited_by_count":1,"area":"offlinerl"},{"id":"2505.06482","title":"Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach","created":"2025-05-10","cited_by_count":1,"area":"offlinerl"},{"id":"2607.09078","title":"Toward Active Object Detection for UAVs in the Wild: A Large-Scale Dataset, Benchmark and Method","created":"2026-07-10","cited_by_count":1,"area":null},{"id":"2205.10739","title":"Offline Policy Comparison with Confidence: Benchmarks and Baselines","created":"2022-05-22","cited_by_count":0,"area":null},{"id":"2304.00573","title":"Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning","created":"2023-04-02","cited_by_count":0,"area":null},{"id":"2312.00592","title":"Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version)","created":"2023-12-01","cited_by_count":0,"area":null},{"id":"2409.14412","title":"COSBO: Conservative Offline Simulation-Based Policy Optimization","created":"2024-09-22","cited_by_count":0,"area":"offlinerl"},{"id":"2504.04164","title":"MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning","created":"2025-04-05","cited_by_count":0,"area":"deeprl"},{"id":"2605.14779","title":"Peng's Q($\\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning","created":"2026-05-14","cited_by_count":0,"area":"offlinerl"},{"id":"2607.13172","title":"Learning Safe Agent Behaviour from Human Preferences and Justifications via World Models","created":"2026-07-14","cited_by_count":0,"area":"wm"},{"id":"2608.03108","title":"Convex-Hull-Neighborhood Smooth Dual Generalization: Controlling Local Correction Propagation in Offline RL","created":"2026-08-04","cited_by_count":0,"area":"offlinerl"},{"id":"2609.09250","title":"No Free Checker: A Survey of Verifiers for Robot Policies","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.35880","title":"From Static Policies to Adaptive Priors in Offline Reinforcement Learning","created":"2026-09-26","cited_by_count":0,"area":"offlinerl"}],"next_cursor":null}